IEEE transactions on power systems, 2019-07, Vol.34 (4), p.3188-3198
2019
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- Autor(en) / Beteiligte
- Titel
- Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work
- Ist Teil von
- IEEE transactions on power systems, 2019-07, Vol.34 (4), p.3188-3198
- Ort / Verlag
- New York: IEEE
- Erscheinungsjahr
- 2019
- Quelle
- IEEE
- Beschreibungen/Notizen
- This paper summarizes the technical activities of the Task Force on Power System Dynamic State and Parameter Estimation. This Task Force was established by the IEEE Working Group on State Estimation Algorithms to investigate the added benefits of dynamic state and parameter estimation for the enhancement of the reliability, security, and resilience of electric power systems. The motivations and engineering values of dynamic state estimation (DSE) are discussed in detail. Then, a set of potential applications that will rely on DSE is presented and discussed. Furthermore, a unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, tracking state estimation, and static state estimation. An overview of the current progress in DSE and dynamic parameter estimation is provided. The paper also provides future research needs and directions for the power engineering community.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0885-8950eISSN: 1558-0679DOI: 10.1109/TPWRS.2019.2894769Titel-ID: cdi_proquest_journals_2244352241
- Format
- –
- Schlagworte
- Algorithms, bad data, Dynamic state estimation, Dynamic state estimation (DSE), Electric power systems, forecasting-aided state estimation, forecasting-aided state estimation (FASE), Generators, Kalman filtering, Load modeling, Monitoring, Parameter estimation, Power system dynamics, power system protection, Power system stability, power system stability and control, POWER TRANSMISSION AND DISTRIBUTION, Reliability engineering, robust estimation, State estimation, static state estimation, static state estimation (SSE), synchrophasor measurements, Task forces, tracking state estimation, tracking state estimation (TSE)